more datasets are coming

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more datasets are coming open government data esidential directive Linked Data Can Help Wildland fire (NIFC) Li Ding, James R. Michaelis, Deborah L. McGuinness and James Tetherless World Constellation, Rensselaer Polytechnic Institute, 110 8th St, Troy, N {dingl,michaj6,dlm,hendler}@cs.rpi.edu ents: This work is funded in part by a grant from DARPA's Transformational Convergence Technology Office Making Sense of Open Government Da Challenge: how to understand and use open government data Opportunities: Linked Data + Social Web + Mashup Strategy: develop and use Linked Government Data using AI+CI Overview ata -> complementary data a -> metadata for field and value ata -> correlated data ningful Mashup and Visualization site location ozone readings Field/value definition BTU consumed agency budget (OMB) Category:Wildf ires In The United States hard to understand and us book volume book volume / population state library (Census) State library (Census) state gross income (IRS) Medicare claims (HHS) ID year PHSY_ ST site- id cost 1998 10.0 1999 site12 3 11.3 2000 NY 8.3 2001 20 site -id Latit ude longit ude site 123 43.99 3 - 70.326 Ye ar clai ms 200 0 382 PHSY_ST: state abbreviation ID: unique id cost: unit is million US dollars year: 1975-2008 Correlated dataset Complement dataset Metadata (field definition) Metadata (value definition) Declarative data linking enables users to drill down for more. Crowdsource (together with machines) can enhance links in data Use Web visualizations (map, chart timeline) to better present data Use Mashups on correlated datasets to better interpret and compare data Lessons Learned US-Location (Crowdsourc e) http://data-gov.tw.rpi.edu

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Tetherless World. Challenge : how to understand and use open government data Opportunities : Linked Data + Social Web + Mashup Strategy : develop and use Linked Government Data using AI+CI. Overview. DATA-GOV. Making Sense of Open Government Data. - PowerPoint PPT Presentation

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Page 1: more datasets are coming

more datasets are comingopen government datapresidential directive

Linked Data Can HelpLinked Data Can Help

Wildland fire(NIFC)

Li Ding, James R. Michaelis, Deborah L. McGuinness and James HendlerTetherless World Constellation, Rensselaer Polytechnic Institute, 110 8th St, Troy, NY 12180, USA

{dingl,michaj6,dlm,hendler}@cs.rpi.edu

Acknowledgements: This work is funded in part by a grant from DARPA's Transformational Convergence Technology Office

Making Sense of Open Government Data

Challenge: how to understand and use open government data Opportunities: Linked Data + Social Web + Mashup Strategy: develop and use Linked Government Data using AI+CI

Challenge: how to understand and use open government data Opportunities: Linked Data + Social Web + Mashup Strategy: develop and use Linked Government Data using AI+CI

OverviewOverview

Data -> complementary data

Data -> metadata for field and value

Data -> correlated data

Meaningful Mashup and Visualization

site location

ozone readings

Field/value definition

BTU consumed

agency budget(OMB)

Category:Wildfires In The United States

hard to understand and use

book volume book volume / population

state library (Census)

State library(Census)

state gross income(IRS)

Medicare claims (HHS)

ID year PHSY_ST site-id cost1998 10.01999 site123 11.32000 NY 8.32001 20

site-id Latitude longitude

site123 43.993 -70.326

Year

claims

2000 382

PHSY_ST: state abbreviationID: unique id

cost: unit is million US dollarsyear: 1975-2008

Correlated dataset Complement dataset

Metadata (field definition) Metadata (value definition)

Declarative data linking enables users to drill down for more. Crowdsource (together with machines) can enhance links in data Use Web visualizations (map, chart timeline) to better present data Use Mashups on correlated datasets to better interpret and compare data

Declarative data linking enables users to drill down for more. Crowdsource (together with machines) can enhance links in data Use Web visualizations (map, chart timeline) to better present data Use Mashups on correlated datasets to better interpret and compare data

Lessons LearnedLessons Learned

US-Location (Crowdsource)

http://data-gov.tw.rpi.edu/